Literature DB >> 4008271

Clinical profiles of hospital discharge rates in local communities.

J R Griffith, P A Wilson, R A Wolfe, D P Bischak.   

Abstract

Using comprehensive 1980 data for hospitalization of the 9 million citizens of Michigan's lower peninsula, the authors have previously demonstrated that the discharge rates of local communities differ by a range of 2 to 1. This article seeks to identify differences in the clinical profile of high-use compared to low-use communities. Population-based rates and percentages of total discharges were studied for major clinical activity groups, such as cardiovascular disease, frequent diagnoses, rarely occurring diagnoses, short- and long-stay diagnoses, certain surgical procedures, and major organ groups of the diagnostic classification system. Although high-use communities tend to admit proportionately fewer surgical cases and proportionately more nonsurgical cases, few other such patterns could be demonstrated.

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Year:  1985        PMID: 4008271      PMCID: PMC1068871     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  11 in total

1.  Measuring the quality of medical care through vital statistics based on hospital service areas; I. Comparative study of appendectomy rates.

Authors:  P A LEMBCKE
Journal:  Am J Public Health Nations Health       Date:  1952-03

2.  A test of consumer contribution to small area variations in health care delivery.

Authors:  J E Wennberg; F J Fowler
Journal:  J Maine Med Assoc       Date:  1977-08

3.  Small area variations in health care delivery.

Authors:  J Wennberg
Journal:  Science       Date:  1973-12-14       Impact factor: 47.728

4.  Community correlates of hospital use.

Authors:  P Wilson; P Tedeschi
Journal:  Health Serv Res       Date:  1984-08       Impact factor: 3.402

5.  Variations in medical care among small areas.

Authors:  J Wennberg; A Gittelsohn
Journal:  Sci Am       Date:  1982-04       Impact factor: 2.142

6.  Surgical rate variations: do they reflect the health or socioeconomic characteristics of the population?

Authors:  N P Roos; L L Roos
Journal:  Med Care       Date:  1982-09       Impact factor: 2.983

7.  Hysterectomy: variations in rates across small areas and across physicians' practices.

Authors:  N P Roos
Journal:  Am J Public Health       Date:  1984-04       Impact factor: 9.308

8.  The physician as gatekeeper. Determinants of physicians' hospitalization rates.

Authors:  R A Rosenblatt; I S Moscovice
Journal:  Med Care       Date:  1984-02       Impact factor: 2.983

9.  Small-area variations in the use of common surgical procedures: an international comparison of New England, England, and Norway.

Authors:  K McPherson; J E Wennberg; O B Hovind; P Clifford
Journal:  N Engl J Med       Date:  1982-11-18       Impact factor: 91.245

10.  Measuring community hospital service in Michigan.

Authors:  J R Griffith; J D Restuccia; P J Tedeschi; P A Wilson; H S Zuckerman
Journal:  Health Serv Res       Date:  1981       Impact factor: 3.402

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  5 in total

1.  Equity and medical practice variation: relationships between standardised discharge ratios in total and for selected conditions in English districts.

Authors:  C E Price; E A Paul; R G Bevan; W W Holland
Journal:  J Epidemiol Community Health       Date:  1992-02       Impact factor: 3.710

2.  Use of community versus individual socioeconomic data in predicting variation in hospital use.

Authors:  T P Hofer; R A Wolfe; P J Tedeschi; L F McMahon; J R Griffith
Journal:  Health Serv Res       Date:  1998-06       Impact factor: 3.402

3.  The extremal quotient in small-area variation analysis.

Authors:  V A Kazandjian; P W Durance; M A Schork
Journal:  Health Serv Res       Date:  1989-12       Impact factor: 3.402

4.  The relationship between supply and hospitalization rates for mental illness and substance use disorders.

Authors:  M S Hendryx; M E Urdaneta; T Borders
Journal:  J Ment Health Adm       Date:  1995

5.  Factors affecting interstate use of inpatient care by Medicare beneficiaries.

Authors:  W Buczko
Journal:  Health Serv Res       Date:  1992-08       Impact factor: 3.402

  5 in total

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